This repository implements a Reinforcement Learning (RL) framework to solve the inverse bone remodeling problem. While the forward problem predicts bone density changes from known loads, this project utilizes Proximal Policy Optimization (PPO) to identify unknown mechanical loading conditions from observed bone morphology.
reinforcement-learning python3 biomechanics mechanical-engineering gymnasium ppo inverse-problem computational-optimization stable-baselines3 systems-and-control
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Updated
Mar 5, 2026 - Python